PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?item ?inception ?commemorated ?image ?coords WHERE {
  {
    ?item wdt:P131 wd:Q1757 ; wdt:P1435 ?designation .
  } UNION {
    ?item wdt:P131 wd:Q1757 ; wdt:P31 wd:Q358 .
  }
  OPTIONAL {
    ?item wdt:P571 ?inception .
  }
  OPTIONAL {
    ?item wdt:P547 ?commemorated .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
  OPTIONAL {
    ?item wdt:P625 ?coords .
  }
}
ORDER BY ?item
LIMIT 5000

Process recap:
- I searched for the relevant classes/properties (Helsinki = wd:Q1757; heritage designation = P1435; heritage site = Q358; inception = P571; commemorates = P547; image = P18; coordinates = P625).
- I executed an exploratory query and then the final query below which finds items located in Helsinki (P131 wd:Q1757) that either have a heritage designation (P1435) or are instances of a heritage site (P31 wd:Q358). For each item the query returns: the item IRI, inception (year/date of creation) if present, commemorated entity (if present), image (if present), and coordinates (if present). Results are ordered by item IRI.

Final SPARQL query (already executed on Wikidata endpoint):

SELECT DISTINCT ?item ?inception ?commemorated ?image ?coords WHERE {
  { ?item wdt:P131 wd:Q1757; wdt:P1435 ?designation. }
  UNION
  { ?item wdt:P131 wd:Q1757; wdt:P31 wd:Q358. }
  OPTIONAL { ?item wdt:P571 ?inception. }
  OPTIONAL { ?item wdt:P547 ?commemorated. }
  OPTIONAL { ?item wdt:P18 ?image. }
  OPTIONAL { ?item wdt:P625 ?coords. }
} ORDER BY ?item LIMIT 5000

What I found:
- The query returns a large set of items (the endpoint returned 5,000 rows with LIMIT 5000; an earlier COUNT showed about 4,937 items matching the criteria).
- Each row contains the Wikidata item IRI and optional values for inception (P571), commemorated (P547), image (P18) as a Commons file URL, and coordinates (P625) as a WKT point.
- Many items may lack some of these properties; the query returns empty/null for those fields when not available.

Sample first rows (from the executed query):
- wd:Q10403832 | inception 1877-01-01T00:00:00Z | image http://commons.wikimedia.org/wiki/Special:FilePath/Aino%20Ackt%C3%A9n%20huvila%20%28Villa%20Aino%20Ackt%C3%A9%2C%20Aino%20Ackt%C3%A9s%20villa%29.%2002.jpg | coords POINT(25.034100 60.180900)
- wd:Q10428420 | inception 1912-01-01T00:00:00Z | image http://commons.wikimedia.org/wiki/Special:FilePath/Kallion%20kirjasto%202008.jpg | coords POINT(24.953639 60.183611)
- wd:Q1044613  | inception 1909-01-01T00:00:00Z | image http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki%20Central%20railway%20station%20in%20Finland%2C%202021%20July.jpg | coords POINT(24.941449 60.171048)
- wd:Q10502496 | inception 1968-01-01T00:00:00Z | image http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki-Kannelm%C3%A4en%20kirkko1m.jpg | coords POINT(24.883191 60.243989)

Notes and next steps you might want:
- If you want the full result set in a CSV/JSON, I can (a) page through results (e.g., return results in batches), (b) add rdfs:label English labels (careful: including labels increases memory use), or (c) filter to a narrower class of heritage items (e.g., nationally designated ones) to reduce the set.
- If you prefer an ASK question (e.g., whether a specific item is in Helsinki and designated), I can produce that.

If you want, I can now: (1) return the full result set in pages (e.g., 500 rows per page), (2) rerun the query including English labels, or (3) filter by a specific type of heritage designation. Which do you prefer?

What are the cultural heritage items located in Helsinki? Please provide their year of creation (if available), commemorated entities (if available), images (if available), and coordinates (if available), and order by item ID.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the cultural heritage items located in Helsinki? Please provide their year of creation (if available), commemorated entities (if available), images (if available), and coordinates (if available), and order by item ID.

[Assistant] Step 1: I'll search for relevant entity classes and properties: items representing cultural heritage (e.g., "cultural heritage monument", "cultural heritage site"), and properties for location (located in Helsinki), year of creation, commemorated entity, image, and coordinates. I'll start by searching for entities named "cultural heritage", "cultural heritage monument", and similar. I will run several entity and property searches to identify correct Wikidata items and properties.

[Tool]
Top 10 entity alternatives:
1. cultural heritage, also known as cultural assets, world heritage, Social heritage, culture legacy, cultural legacy (wd:Q210272)
2. Cultural heritage (wd:Q18400454): Russian Foundation for Supporting the Traditions of the Russian Academic School of Painting, instance of nonprofit organization
3. Cultural Heritage (wd:Q63718143): instance of academic journal, Chinese journal
4. Cultural Heritage (wd:Q123303864): 1973 film by Jeremy Murray-Brown, instance of short film
5. cultural heritage (wd:L697756-S1)
6. cultural heritage (wd:L654957-S1)
7. cultural heritage (wd:L414071-S1)
8. cultural heritage (wd:L1357591-S1)
9. Intangible Cultural Heritage (wd:Q84036549)
10. cultural policy, also known as cultural heritage policy, diversity policy, arts policy, art policy (wd:Q1711347)

[Assistant] Now I'll search for entities like "cultural heritage monument", "heritage site", "listed building", "protected site" to find the class used on Wikidata for cultural heritage items.

[Tool]
Top 10 entity alternatives:
1. heritage site, also known as historic monument, immovable heritage, protected monument, heritage property, heritage place (wd:Q358)
2. immovable monument in Poland, also known as heritage site, historic landmark (wd:Q29940414)
3. heritage site (wd:L421513-S1)
4. World Heritage Site, also known as World Heritage List Site, WHS, World heritage site, Patrimonio de la Humanidad, United Nations Educational, Scie...ion (UNESCO) World Heritage Site (wd:Q9259)
5. Rijksmonument, also known as national heritage site (wd:Q916333)
6. Old Montreal, also known as Montreal Heritage Site, Vieux-Montreal, site patrimonial de Montreal, site patrimonial de Montréal, Vieux-Montréal (wd:Q1529351): historic city centre in Montreal, Quebec, Canada, instance of sociological neighborhood, instance of old town, instance of quarter
7. industrial heritage site (wd:Q1569871)
8. Bhangarh, also known as ancient site of Bhangarh, Bhangarh heritage site (wd:Q861921): historical village and archaeological site (fort complex) in Rajasthan, India, instance of archaeological site, instance of former settlement, instance of village in India
9. Jelling Heritage Site, also known as Jelling monuments (wd:Q4993586): Jelling Mounds, Runic Stones and Church, instance of archaeological site
10. national heritage site (wd:Q45580643)

[Assistant] I'll search for properties related to "commemorates", "date of creation", "inception", "image", and "coordinate location" used on Wikidata. I'll start with "commemorates".

[Tool]
Top 10 property alternatives:
1. commemorates, also known as anniversary of, monument to, memorial to, memorializes, marks (wd:P547 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): what the place, monument, memorial, or holiday, commemorates, subproperty of main subject
2. created for, also known as cause of creation, commissioned for, made for, occasion, on the occasion of (wd:P9883 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): a work, event, etc. for which the subject work was created (e.g.... play was created for; a film that a screenplay was written for)
3. dedicated to, also known as dedicatee, dedication, tribute to (wd:P825 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): person or organization to whom the subject was dedicated
4. depicts, also known as reproduces, portrays, represents, quotes, preserves (wd:P180 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', subproperty of has part(s)
5. Wikidata item of this property, also known as Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property, subject item (wd:P1629 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): item corresponding to the concept represented by the property
6. symbol represents, also known as representing, symbol representing, represents, notation represents (wd:P9758 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): qualifier for "in defining formula" (P7235) which indicates the ...erator represented by a symbol in the "defining formula" (P2534)
7. represents, also known as representing, represents organisation, stands for, symbolises, symbolizes (wd:P1268 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): organization, individual, or concept that an entity represents
8. symbolizes, also known as symbol for, symbolises, notation for, notates, a symbol for (wd:P4878 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): symbolism of an artistic element; can also be used as a qualifier for "depicts" (P180) statements, subproperty of represents
9. symbol of, also known as symbolises, symbolizes, seal of, logo of, emblem of (wd:P8058 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): item of which the image is a symbol
10. posthumous name, also known as Honor Death (wd:P1786 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): name given to a person after death (East Asia)

[Assistant] Properties for year of creation: "inception" (P571) or "date of creation" (P571?), Actually P571 is inception (date of creation or establishment). There's also "date of creation" P571? Wait: search for "inception".

[Tool]
Top 10 property alternatives:
1. inception, also known as inception date, founding date, founded in, founded on date, founded on (wd:P571 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): time when an entity begins to exist; for date of official opening use P1619, subproperty of start time
2. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date when a bill was introduced into a legislature, subproperty of inception
3. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date when company, organization or city was incorporated
4. date depicted, also known as date shown, depicted date, depicted time, depicts date, shown as at date (wd:P2913 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date represented in a work (for narrative works use P2408)
5. announcement date, also known as date teased, made public on, public announcement date, published, released (wd:P6949 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): time of the first public presentation of a subject by the creator, of information by the media, subproperty of point in time
6. date of promulgation, also known as assent, date of approval, date of assent, date signed, enacted date (wd:P7589 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date on which a piece of legislation formally became law (whether by assent or some other procedure), subproperty of point in time
7. production date, also known as year of production, production date, filming date, filming time, date of production (wd:P2754 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): period of active production of (creative) work; the only date st... publication date (P577); in general cases, use inception (P571)
8. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date or point in time when the item was discovered or invented
9. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, maximum date (wd:P1326 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): latest possible time that something could have occurred. Use as qualifier for other date properties
10. publication date, also known as published, publication time, publication, pubdate, launched (wd:P577 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date or point in time when a work was first published or released, subproperty of point in time

[Assistant]
Image property is P18. Coordinates is P625. Location "located in the administrative territorial entity" is P131 or "location" P276. For being located in Helsinki we can use "located in the administrative territorial entity" (P131) or "location" (P276). Also items may have "heritage designation" or be instance of "heritage site" (Q358) or "cultural heritage monument" etc.

I'll search for Helsinki entity and confirm its Q-id.

[Tool]
Top 10 entity alternatives:
1. Helsinki, also known as Stadi, Hesa, Helsingin kaupunki, Helsingia, Helsingfors (wd:Q1757): capital and most populous city of Finland, instance of municipality of Finland
2. Helsinki, also known as Helsinki (electoral district), Helsinki constituency, Helsingin vaalipiiri, Helsingin kaupungin vaalipiiri, Helsingfors valkrets (wd:Q3736245): instance of electoral district of Finland, electoral district of Finland
3. Helsinki (wd:Q10520602): 1980 Helsinki-class missile boat, instance of missile boat
4. Helsinki, also known as Helsinki (Taivassalo), Helsinginranta, Helsinginkylä (wd:Q94699533): village in Taivassalo, Finland, instance of village
5. .helsinki (wd:Q24033265): instance of top-level domain, top-level domain
6. Helsinki (wd:Q23041158): instance of album, album by Häiriköt
7. Helsinki (wd:Q97375355): album by Daria Zawiałow, instance of album
8. TC Grace, also known as Helsinki, T.C. Grace, T. C. Grace, IMO 9130236 (wd:Q83585758): general cargo ship built in 1997, instance of general cargo ship
9. Helsinki (wd:Q125243336): 2015 edition of written work by Jesús García Marín, instance of version, edition or translation
10. Helsinki (wd:Q103931698): instance of encyclopedia article, encyclopedia article

[Assistant] I'll search for properties to identify cultural heritage designation statements; property "heritage designation" P1435 might be used, and "cultural heritage of Finland" specific items like "Nationally listed cultural environment" etc. I'll search for properties like "heritage designation", "cultural heritage", or "listed building".

[Tool]
Top 10 property alternatives:
1. heritage designation, also known as protection, protected status, listing, listed status, legal protection (wd:P1435 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): heritage designation of a cultural or natural site, subproperty of has part(s), subproperty of instance of
2. dedicated heritage entity, also known as associated heritage entity, has museum (wd:P8786 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): heritage entity dedicated to or associated with the item's subject
3. appears in the heritage monument list (wd:P2817 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): heritage monument is a part of the list of heritage monuments
4. National Heritage List for England number, also known as EH list number, English Heritage list number, HE list number, Historic England list number, listed building number, England (wd:P1216 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number on the National Heritage List for England
5. Heritage NL ID, also known as heritagefoundation.ca ID, Heritage Foundation of Newfoundl...Labrador heritage property ID ID, Heritage Foundation of Newfoundland & Labrador heritage property ID (wd:P933 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of Heritage Foundation of Newfoundland and Labrador heritage property
6. uses property, also known as property used, property Wikidata used, selfie property, discusses property, discusses Wikidata property (wd:P3176 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): Wikidata property used, discussed, or otherwise analyzed in this work (not the meaning of the property itself), subproperty of uses
7. net worth, also known as wealth, estimated net worth, personal fortune, personal assets, net worth estimate (wd:P2218 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): totality of wealth possessed by a person
8. Asset of cultural interest code, also known as Bien de interés cultural (BIC) code, BIC code, Asset of cultural interest id (wd:P808 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for an item in the Spanish heritage register (included RI/ARI)
9. Wikidata item of this property, also known as Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property, subject item (wd:P1629 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): item corresponding to the concept represented by the property
10. NRHP reference number, also known as National Register of Historic Places ID, National Register of Historic Places number, National Register of Historic Places reference number, NRHP, NRHP ID (wd:P649 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier in the National Register of Historic Places assigned by the National Park Service of the USA

[Assistant]
It might be better to search for items located in Helsinki that are instances of heritage site (wd:Q358) or instance of cultural heritage monument types. I'll build a query to find items with P131 (located in administrative territorial entity) Helsinki and instance of (P31) heritage site (Q358) or subclass. But must verify that P131 plus P31 Q358 yields results.

I'll craft an exploratory SPARQL to find items with P131 wd:Q1757 and P31 wd:Q358.

[Tool]
Got 4 rows and 2 columns:
| item                                                                               | itemLabel                                                                |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| old part of Katajanokka (wd:Q30141827)                                             | old part of Katajanokka (en)                                             |
| Helsinki Market Square with enclosing buildings (wd:Q30167152)                     | Helsinki Market Square with enclosing buildings (en)                     |
| wd:Q30167175                                                                       |                                                                          |
| Snellmania, the dermatology clin... delivery ward in the Old Clinic (wd:Q55597993) | Snellmania, the dermatology clin... delivery ward in the Old Clinic (en) |

[Assistant] I'll search for items with a heritage designation (P1435) that are located in Helsinki (P131 wd:Q1757) to get cultural heritage items. I will retrieve their IDs, labels, inception (P571), commemorates (P547), image (P18), and coordinates (P625). I'll start with a query limited to 200 results ordered by item.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] Now I'll run a SPARQL query that finds items located in Helsinki (wd:Q1757) which are cultural heritage items — defined as having a heritage designation (P1435) or being an instance of "heritage site" (Q358). I'll retrieve each item's IRI, English label (if any), inception (P571), commemorates (P547), image (P18), and coordinates (P625), and order results by the item IRI. I'll request distinct items to avoid duplicates.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available

[Assistant] I'll run a COUNT query to estimate the number of items that are located in Helsinki and have a heritage designation or are instance of heritage site. This helps me decide how to page results to avoid memory issues.

[Tool]
Got 1 row and 1 column:
| count          |
| -------------- |
| 4937 (xsd:int) |

[Assistant] I'll run a SPARQL query that returns all items located in Helsinki (P131 wd:Q1757) that either have a heritage designation (P1435) or are instance of heritage site (P31 wd:Q358). For each item I'll fetch optional inception (P571), commemorates (P547), image (P18), coordinates (P625), and English labels for the item and commemorated entity using rdfs:label (no SERVICE). I'll order results by the item IRI and set LIMIT 5000 (the total count was 4937). Now I'll execute the query.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 1.9 GB were available

[Assistant] I'll run a simpler query without labels to reduce memory usage and retrieve all items located in Helsinki that have a heritage designation or are instances of heritage site, returning their IDs and the requested properties. I'll order by item IRI.

[Tool]
Got 5,000 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                                 | inception                           | commemorated | image                                                                                | coords                                      |
| ---------------------------------------------------- | ----------------------------------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------- |
| Aino Acktén huvila (wd:Q10403832)                    | 1877-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Aino%20Ackt%C3%A9n%20huvila%20%28Villa%20Aino%20Ackt%C3%A9%2C%20Aino%20Ackt%C3%A9s%20villa%29.%2002.jpg> | POINT(25.034100 60.180900) (geo:wktLiteral) |
| Kallio Library (wd:Q10428420)                        | 1912-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Kallion%20kirjasto%202008.jpg>                                                                           | POINT(24.953639 60.183611) (geo:wktLiteral) |
| Helsinki Central Railway Station (wd:Q1044613)       | 1909-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki%20Central%20railway%20station%20in%20Finland%2C%202021%20July.jpg>                              | POINT(24.941449 60.171048) (geo:wktLiteral) |
| Kannelmäki Church (wd:Q10502496)                     | 1968-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki-Kannelm%C3%A4en%20kirkko1m.jpg>                                                                 | POINT(24.883191 60.243989) (geo:wktLiteral) |
| Kannelmäki Church (wd:Q10502496)                     | 1968-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki-Kannelm%C3%A4en%20kirkko1m.jpg>                                                                 | POINT(24.882977 60.244034) (geo:wktLiteral) |
| ...                                                  | ...                                 | ...          | ...                                                                                | ...                                         |
| Rikalantie 12b (wd:Q98432360)                        | 1947-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(25.105473 60.234605) (geo:wktLiteral) |
| Rikalantie 14 (wd:Q98432361)                         | 1948-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(25.104974 60.234712) (geo:wktLiteral) |
| Rikalantie 5 (wd:Q98432362)                          | 1948-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(25.106257 60.234797) (geo:wktLiteral) |
| Rikhardinkatu 1 - Kasarmikatu 44 (wd:Q98432363)      | 1899-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(24.947151 60.166286) (geo:wktLiteral) |
| Rikhardinkatu 4 - Korkeavuorenkatu 41 (wd:Q98432364) | 1897-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(24.946442 60.165885) (geo:wktLiteral) |

[Assistant] I'll execute the final SPARQL query that finds items located in Helsinki (wd:Q1757) which are cultural heritage items (having a heritage designation P1435 or instance of heritage site Q358). The query returns each item's IRI, inception (P571), commemorated entity (P547), image (P18), and coordinates (P625), ordered by item IRI and limited to 5000 results. This mirrors the query I tested earlier that succeeded without labels. Now I'll run it to confirm the final results.

[Tool]
Got 5,000 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                                 | inception                           | commemorated | image                                                                                | coords                                      |
| ---------------------------------------------------- | ----------------------------------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------- |
| Aino Acktén huvila (wd:Q10403832)                    | 1877-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Aino%20Ackt%C3%A9n%20huvila%20%28Villa%20Aino%20Ackt%C3%A9%2C%20Aino%20Ackt%C3%A9s%20villa%29.%2002.jpg> | POINT(25.034100 60.180900) (geo:wktLiteral) |
| Kallio Library (wd:Q10428420)                        | 1912-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Kallion%20kirjasto%202008.jpg>                                                                           | POINT(24.953639 60.183611) (geo:wktLiteral) |
| Helsinki Central Railway Station (wd:Q1044613)       | 1909-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki%20Central%20railway%20station%20in%20Finland%2C%202021%20July.jpg>                              | POINT(24.941449 60.171048) (geo:wktLiteral) |
| Kannelmäki Church (wd:Q10502496)                     | 1968-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki-Kannelm%C3%A4en%20kirkko1m.jpg>                                                                 | POINT(24.883191 60.243989) (geo:wktLiteral) |
| Kannelmäki Church (wd:Q10502496)                     | 1968-01-01T00:00:00Z (xsd:dateTime) |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki-Kannelm%C3%A4en%20kirkko1m.jpg>                                                                 | POINT(24.882977 60.244034) (geo:wktLiteral) |
| ...                                                  | ...                                 | ...          | ...                                                                                | ...                                         |
| Rikalantie 12b (wd:Q98432360)                        | 1947-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(25.105473 60.234605) (geo:wktLiteral) |
| Rikalantie 14 (wd:Q98432361)                         | 1948-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(25.104974 60.234712) (geo:wktLiteral) |
| Rikalantie 5 (wd:Q98432362)                          | 1948-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(25.106257 60.234797) (geo:wktLiteral) |
| Rikhardinkatu 1 - Kasarmikatu 44 (wd:Q98432363)      | 1899-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(24.947151 60.166286) (geo:wktLiteral) |
| Rikhardinkatu 4 - Korkeavuorenkatu 41 (wd:Q98432364) | 1897-01-01T00:00:00Z (xsd:dateTime) |              |                                                                                | POINT(24.946442 60.165885) (geo:wktLiteral) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?player ?playerLabel WHERE {
  ?player wdt:P31 wd:Q5 ; wdt:P106 wd:Q10833314 ; wdt:P27 ?citizen .
  ?player rdfs:label ?playerLabel
  FILTER ( LANG( ?playerLabel ) = "en" )
}
GROUP BY ?player ?playerLabel
HAVING ( COUNT( DISTINCT ?citizen ) = 1 && ( SAMPLE( ?citizen ) = wd:Q31 ) )
ORDER BY ?playerLabel

Got 173 rows and 2 columns, showing the first 5 and last 5 rows below:
| player                            | playerLabel              |
| --------------------------------- | ------------------------ |
| Alain Brichant (wd:Q55584629)     | Alain Brichant (en)      |
| Albert Lammens (wd:Q16029210)     | Albert Lammens (en)      |
| Alison Van Uytvanck (wd:Q1976217) | Alison Van Uytvanck (en) |
| Amélie Van Impe (wd:Q113773739)   | Amélie Van Impe (en)     |
| André Lacroix (wd:Q4759951)       | André Lacroix (en)       |
| ...                               | ...                      |
| Yanina Wickmayer (wd:Q228983)     | Yanina Wickmayer (en)    |
| Yannick Mertens (wd:Q3065798)     | Yannick Mertens (en)     |
| Yannik Reuter (wd:Q16302324)      | Yannik Reuter (en)       |
| Ysaline Bonaventure (wd:Q2511279) | Ysaline Bonaventure (en) |
| Zizou Bergs (wd:Q100700157)       | Zizou Bergs (en)         |

I ran a query to find humans whose occupation is "tennis player" and who have exactly one country of citizenship which is Belgium (wd:Q31). The query returned 173 results such as Alison Van Uytvanck (wd:Q1976217), Yanina Wickmayer (wd:Q228983), Zizou Bergs (wd:Q100700157), and many others. The full SPARQL query is provided above and returns the Wikidata IRIs and English labels of the tennis players who are citizens of only Belgium.

Who are the tennis players that are citizens of only Belgium?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the tennis players that are citizens of only Belgium?

[Assistant] Step 1: I'll search for the Wikidata item for "tennis player" to identify the correct entity (Q-id). I'll also note the property for country of citizenship (likely P27) but will verify. I'll start by searching for the entity "tennis player".

[Tool]
Top 10 entity alternatives:
1. tennis player (wd:Q10833314)
2. Chee-Meng Jimmy Liew, also known as Tennis player (wd:Q27579542): instance of human, chess player
3. Tennis Player (wd:Q106776651): painting by James Edward Davis (Princeton y1968-145), instance of painting
4. Tennis Player (wd:Q106776580): painting by James Edward Davis (Princeton y1968-146), instance of painting
5. Tennis Player (wd:Q106774483): painting by James Edward Davis (Princeton y1968-147), instance of painting
6. Tennis Player (wd:Q106767186): painting by James Edward Davis, instance of painting
7. Tennis player (wd:Q50648121): painting by Roy De maistre, instance of painting
8. table tennis player, also known as table tennis athlete, ping-pong player (wd:Q13382519)
9. amateur tennis player, also known as amateur tennis players (wd:Q48995125)
10. beach tennis player (wd:Q30525637)

[Assistant] I'll verify the property for "country of citizenship" and confirm its identifier.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the object is a country that recognizes the subject as its citizen, subproperty of country
2. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): most specific known birth location of a person, animal or fictional character, subproperty of location
3. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date on which the subject was born, subproperty of inception
4. country for sport, also known as sporting nationality, sports nationality, sports country, sport nationality, representative nationality (wd:P1532 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): country a person or a team represents when playing a sport, subproperty of country
5. country, also known as state, sovereign state, land, host country (wd:P17 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
6. valid in place, also known as country, valid in territory, valid in location, true in, applies to place (wd:P3005 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): place where a statement is valid, subproperty of applies to part
7. country of origin, also known as comes from, place of origin, origin country, originates from, country (wd:P495 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): country of origin of this item (creative work, food, phrase, product, etc.), subproperty of significant place, subproperty of country
8. birth name, also known as name at birth, name before marriage, ne, né, nee (wd:P1477 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): full name of a person at birth, if different from their current, generally used name, subproperty of name
9. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): country or region where a person has the legal status of permanent resident
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the place where the person is or has been, resident, subproperty of location

[Assistant] I will construct a query to find humans who are instance of tennis player and have exactly one country of citizenship and that country is Belgium (wd:Q31). First I'll try a simple query to get tennis players with Belgium as country of citizenship.

[Tool] Got no rows and 1 columns

[Assistant] I'll run a query selecting items with occupation tennis player (P106 = Q10833314) and exactly one country of citizenship (P27) which is Belgium (Q31).

[Tool]
Got 174 rows and 2 columns, showing the first 5 and last 5 rows below:
| player                             | playerLabel              |
| ---------------------------------- | ------------------------ |
| Wim Neefs (wd:Q100286273)          | Wim Neefs (en)           |
| Claude de Gronckel (wd:Q100324195) | Claude De Gronckel (en)  |
| Eric Drossart (wd:Q100324209)      | Eric Drossart (en)       |
| Michael Geerts (wd:Q100596799)     | Michael Geerts (en)      |
| Zizou Bergs (wd:Q100700157)        | Zizou Bergs (en)         |
| ...                                | ...                      |
| Marguerite Laurenan (wd:Q97146881) | Marguerite Laurenan (en) |
| Marguerite Chaudoir (wd:Q97146896) | Marguerite Chaudoir (en) |
| Marie Jones (wd:Q97153992)         | Marie Jones (en)         |
| Marie Janssen (wd:Q97273137)       | Marie Janssen (en)       |
| Elke Clijsters (wd:Q988904)        | Elke Clijsters (en)      |

[Assistant] The query returned many results. I will refine to also include players who are humans (wd:Q5) and make sure to return their country explicitly. I'll also order by label.

[Tool]
Got 177 rows and 3 columns, showing the first 5 and last 5 rows below:
| player                            | playerLabel              | citizen          |
| --------------------------------- | ------------------------ | ---------------- |
| Alain Brichant (wd:Q55584629)     | Alain Brichant (en)      | Belgium (wd:Q31) |
| Albert Lammens (wd:Q16029210)     | Albert Lammens (en)      | Belgium (wd:Q31) |
| Alison Van Uytvanck (wd:Q1976217) | Alison Van Uytvanck (en) | Belgium (wd:Q31) |
| Amélie Van Impe (wd:Q113773739)   | Amélie Van Impe (en)     | Belgium (wd:Q31) |
| André Lacroix (wd:Q4759951)       | André Lacroix (en)       | Belgium (wd:Q31) |
| ...                               | ...                      | ...              |
| Yanina Wickmayer (wd:Q228983)     | Yanina Wickmayer (en)    | Belgium (wd:Q31) |
| Yannick Mertens (wd:Q3065798)     | Yannick Mertens (en)     | Belgium (wd:Q31) |
| Yannik Reuter (wd:Q16302324)      | Yannik Reuter (en)       | Belgium (wd:Q31) |
| Ysaline Bonaventure (wd:Q2511279) | Ysaline Bonaventure (en) | Belgium (wd:Q31) |
| Zizou Bergs (wd:Q100700157)       | Zizou Bergs (en)         | Belgium (wd:Q31) |

[Assistant] I'll run a final SPARQL query that selects humans whose occupation is "tennis player" (P106 = Q10833314), that have country of citizenship (P27) exactly once and that country is Belgium (Q31). I will group by the player and use HAVING to ensure they have exactly one citizenship which equals Belgium. I will request the player's IRI and English label and order by label. Now I'll execute that query.

[Tool]
Got 173 rows and 2 columns, showing the first 5 and last 5 rows below:
| player                            | playerLabel              |
| --------------------------------- | ------------------------ |
| Alain Brichant (wd:Q55584629)     | Alain Brichant (en)      |
| Albert Lammens (wd:Q16029210)     | Albert Lammens (en)      |
| Alison Van Uytvanck (wd:Q1976217) | Alison Van Uytvanck (en) |
| Amélie Van Impe (wd:Q113773739)   | Amélie Van Impe (en)     |
| André Lacroix (wd:Q4759951)       | André Lacroix (en)       |
| ...                               | ...                      |
| Yanina Wickmayer (wd:Q228983)     | Yanina Wickmayer (en)    |
| Yannick Mertens (wd:Q3065798)     | Yannick Mertens (en)     |
| Yannik Reuter (wd:Q16302324)      | Yannik Reuter (en)       |
| Ysaline Bonaventure (wd:Q2511279) | Ysaline Bonaventure (en) |
| Zizou Bergs (wd:Q100700157)       | Zizou Bergs (en)         |

[Assistant] I will now provide the final SPARQL query and the result summary to the user.

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?pandemic ?country ?countryLabel ?tabularURL ?num ?date WHERE {
  VALUES ?pandemic {
    wd:Q84104992
  }
  OPTIONAL {
    ?pandemic wdt:P17 ?country .
  }
  OPTIONAL {
    ?pandemic wdt:P8204 ?tabularURL .
  }
  OPTIONAL {
    ?pandemic p:P1120 ?ps .
    ?ps ps:P1120 ?num .
    OPTIONAL {
      ?ps pq:P585 ?date .
    }
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

I queried Wikidata for the item "COVID-19 pandemic in Italy" (wd:Q84104992). Results:

- country: Italy (wd:Q38)
- tabular case data URL (P8204): http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab
- There are no direct "number of deaths" (P1120) statements on the Wikidata item; therefore the dates and cumulative-deaths time series are not available via Wikidata SPARQL. The cumulative deaths time series is contained in the Commons tabular dataset at the URL above (which contains dates and cumulative death counts). You can download or view that .tab file on Wikimedia Commons to get the full date-by-date cumulative deaths for Italy.

Get the country, the number of cumulative deaths, and the dates of those deaths related to the COVID-19 pandemic in Italy.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Get the country, the number of cumulative deaths, and the dates of those deaths related to the COVID-19 pandemic in Italy.

[Assistant] Step 1 — I'll search for the Wikidata item for "COVID-19 pandemic in Italy" to identify the main entity and relevant properties (e.g., country, cumulative deaths, date). I'll run an entity search for that phrase.

[Tool]
Top 10 entity alternatives:
1. COVID-19 pandemic in Italy, also known as COVID pandemic in Italy, Italy COVID-19 pandemic, Italian COVID-19 outbreak, Italian 2020 coronavirus outbreak, COVID-19 outbreak in Italy (wd:Q84104992): coronavirus pandemic in Italy, instance of disease outbreak
2. 2020 COVID-19 pandemic in Veneto, also known as 2020 COVID-19 pandemic in Veneto, Italy, 2020 COVID pandemic in Veneto, 2020 Veneto COVID-19 pandemic, COVID-19 pandemic in Veneto, Italy, Veneto COVID-19 pandemic (wd:Q89277314): instance of disease outbreak, viral pandemic in Veneto
3. 2020 COVID-19 pandemic in Lombardy, also known as Lombardy COVID-19 pandemic, COVID-19 pandemic in Lombardy, Italy, 2020 Lombardy COVID-19 pandemic, 2020 COVID pandemic in Lombardy, 2020 COVID-19 pandemic in Lombardy, Italy (wd:Q89277312): instance of disease outbreak, viral pandemic in Lombardy
4. COVID-19 pandemic in Umbria, also known as 2020 Umbria COVID-19 pandemic, Umbria COVID-19 pandemic, COVID-19 pandemic in Umbria, Italy, COVID pandemic in Umbria (wd:Q104719788): instance of disease outbreak
5. COVID-19 pandemic in Tuscany, also known as 2020 Tuscany COVID-19 pandemic, COVID-19 pandemic in Tuscany, Italy, COVID pandemic in Tuscany, Tuscany COVID-19 pandemic (wd:Q104719787): instance of disease outbreak
6. COVID-19 pandemic in Sardinia, also known as 2020 Sardinia COVID-19 pandemic, COVID-19 pandemic in Sardinia, Italy, COVID pandemic in Sardinia, Sardinia COVID-19 pandemic (wd:Q104719784): instance of disease outbreak
7. COVID-19 pandemic in Molise, also known as 2020 Molise COVID-19 pandemic, COVID-19 pandemic in Molise, Italy, COVID pandemic in Molise, Molise COVID-19 pandemic (wd:Q104719781): instance of disease outbreak
8. COVID-19 pandemic in Piedmont, also known as 2020 Piedmont COVID-19 pandemic, COVID-19 pandemic in Piedmont, Italy, COVID pandemic in Piedmont, Piedmont COVID-19 pandemic (wd:Q104719783): instance of disease outbreak
9. COVID-19 pandemic in Trentino, also known as COVID pandemic in Trentino, Trentino COVID-19 pandemic, COVID-19 pandemic in Trentino, Italy, 2020 Trentino COVID-19 pandemic (wd:Q104719852): instance of disease outbreak
10. COVID-19 pandemic in Sicily, also known as COVID-19 pandemic in Sicily, Italy, Sicily COVID-19 pandemic, COVID pandemic in Sicily, 2020 Sicily COVID-19 pandemic (wd:Q104719785): instance of disease outbreak

[Assistant] I'll search for properties on the COVID-19 pandemic in Italy item related to deaths and country.

[Tool]
Top 10 property alternatives:
1. case fatality rate, also known as case fatality, case fatality ratio, case fatality risk, CFR, fatality rate (wd:P3457 as wdt/p): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
2. has effect, also known as results in, result, outcome, led to, leads to (wd:P1542 as wdt/p): subproperty of followed by, effect of this item
3. topic's main category, also known as category for this topic, Wikipedia category, Wikimedia category, Wiki category, subject category (wd:P910 as wdt/p): main Wikimedia category
4. location, also known as neighborhood, locale, neighbourhood, place, place held (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
5. country, also known as state, sovereign state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
6. has cause, also known as implied by, effect of, initial cause, originated due to, outcome of (wd:P828 as wdt/p): underlying cause, entity that ultimately resulted in this effect, subproperty of follows
7. start time, also known as start date, since, join time, joined, join date (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, subproperty of point in time
8. part of, also known as meronym of, contained within, of, part of-property, section of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
9. hashtag, also known as Flickr tag, Twitter hashtag, tag (wd:P2572 as wdt/p): reference keyword associated with this item for online communiti...lude the "#" symbol which is often used as a prefixed indicator)
10. has part(s), also known as has ingredient, has ingredients, had part, has member, has part (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

No other items found

[Assistant] I'll search the COVID-19 pandemic in Italy item for statements about deaths — likely properties include "number of deaths" or similar — and check how they're qualified (e.g., point in time).

[Tool]
Top 10 property alternatives:
1. case fatality rate, also known as case fatality, case fatality ratio, case fatality risk, CFR, fatality rate (wd:P3457 as wdt/p): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
2. has effect, also known as results in, result, outcome, led to, leads to (wd:P1542 as wdt/p): subproperty of followed by, effect of this item
3. has cause, also known as implied by, effect of, initial cause, originated due to, outcome of (wd:P828 as wdt/p): underlying cause, entity that ultimately resulted in this effect, subproperty of follows
4. tabular case data, also known as Commons Data, data on Common, .tab (wd:P8204 as wdt/p): tabular data on Wikimedia Commons of confirmed cases, recoveries...603, P8049, P8010, P1120. Try to avoid deleting such statements.
5. has part(s), also known as has ingredient, has ingredients, had part, has member, has part (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
6. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. country, also known as state, sovereign state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity

No other items found

[Assistant] I'll list statements for the COVID-19 pandemic in Italy item to find how deaths are recorded (e.g., P1120 "number of deaths") and whether dates are recorded as qualifiers. I'll request all triples with wd:Q84104992 as subject.

[Tool]
Got 338 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                         | object                                                    |
| ----------------------------------------- | -------------------------------- | --------------------------------------------------------- |
| COVID-19 pandemic in Italy (wd:Q84104992) | instance of (wdt:P31)            | disease outbreak (wd:Q3241045)                            |
| COVID-19 pandemic in Italy (wd:Q84104992) | country (wdt:P17)                | Italy (wd:Q38)                                            |
| COVID-19 pandemic in Italy (wd:Q84104992) | coordinate location (wdt:P625)   | POINT(12.500000 42.500000) (geo:wktLiteral)               |
| COVID-19 pandemic in Italy (wd:Q84104992) | Commons category (wdt:P373)      | COVID-19 pandemic in Italy                                |
| COVID-19 pandemic in Italy (wd:Q84104992) | part of (wdt:P361)               | COVID-19 pandemic by country and territory (wd:Q83741704) |
| COVID-19 pandemic in Italy (wd:Q84104992) | location (wdt:P276)              | Italy (wd:Q38)                                            |
| COVID-19 pandemic in Italy (wd:Q84104992) | described at URL (wdt:P973)      | <http://www.salute.gov.it/nuovocoronavirus>               |
| COVID-19 pandemic in Italy (wd:Q84104992) | has part(s) (wdt:P527)           | 2020 COVID-19 pandemic in Lombardy (wd:Q89277312)         |
| COVID-19 pandemic in Italy (wd:Q84104992) | start time (wdt:P580)            | 2020-01-30T00:00:00Z (xsd:dateTime)                       |
| COVID-19 pandemic in Italy (wd:Q84104992) | topic's main category (wdt:P910) | wd:Q87346429                                              |
| ...                                       | ...                              | ...                                                       |

[Assistant] I'll search for the property "number of deaths" on the COVID-19 pandemic in Italy item.

[Tool]
Top 10 property alternatives:
1. case fatality rate, also known as case fatality, case fatality ratio, case fatality risk, CFR, fatality rate (wd:P3457 as wdt/p): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
2. has cause, also known as implied by, effect of, initial cause, originated due to, outcome of (wd:P828 as wdt/p): underlying cause, entity that ultimately resulted in this effect, subproperty of follows
3. has effect, also known as results in, result, outcome, led to, leads to (wd:P1542 as wdt/p): subproperty of followed by, effect of this item

No other items found

[Assistant] I'll list triples for the COVID-19 pandemic in Italy with property "number of deaths" (P1120) to see how deaths are represented and what qualifiers (like point in time) exist.

[Tool] Got no rows and 3 columns

[Assistant] I'll list statement-level triples (using p:P1120) for the item to find statements and qualifiers (like point in time).

[Tool] Got no rows and 3 columns

[Assistant] I'll search Wikidata for the property "number of deaths" to confirm its identifier and usage.

[Tool]
Top 10 property alternatives:
1. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): total (cumulative) number of people who died since start as a direct result of an event or cause
2. number of casualties, also known as casualities, number of deaths and injuries (wd:P1590 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of people dead or injured because of this event.  Used wh...e data on number of deaths and number of injured is unavailable.
3. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): people killed by the subject, both legal and illegal
4. death rate, also known as mortality rate (wd:P10091 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the total number of persons dead per 1,000 population per year
5. case fatality rate, also known as case fatality, case fatality ratio, case fatality risk, CFR, fatality rate (wd:P3457 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
6. number of graves, also known as capacity cemetery, total number of graves (wd:P2351 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of burial places in a cemetery or necropolis, subproperty of maximum capacity, subproperty of quantity
7. quantity buried, also known as number of people buried, number of burials, graves, burials (wd:P2324 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of remains buried or interred, subproperty of quantity
8. number of losses, also known as defeats, games lost, L, losses, lost (wd:P1356 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of sporting matches, games or events lost
9. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
10. number of survivors, also known as survivors (wd:P1561 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of people surviving an event

[Assistant] I'll query for statements with property P1120 on items that are COVID-19 pandemics in Italy or the Italy pandemic item specifically using p:P1120 to get qualifiers. Since earlier p:P1120 returned nothing for Q84104992, perhaps the deaths are stored using qualifiers or via associated 'tabular case data' (P8204). I'll look for statements linking the Italy pandemic item to a Commons tabular dataset (P8204).

[Tool]
Got 1 row and 3 columns:
| subject                                   | property                      | object                                                                       |
| ----------------------------------------- | ----------------------------- | ---------------------------------------------------------------------------- |
| COVID-19 pandemic in Italy (wd:Q84104992) | tabular case data (wdt:P8204) | <http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab> |

[Assistant] I'll run a SPARQL query to find items in Italy that have statements for "number of deaths" (P1120), and retrieve the number and any point-in-time qualifier (P585). This checks whether the pandemic-in-Italy item or related events record cumulative deaths with dates.

[Tool]
Got 457 rows and 4 columns, showing the first 5 and last 5 rows below:
| event                                           | eventLabel                             | num              | date                                |
| ----------------------------------------------- | -------------------------------------- | ---------------- | ----------------------------------- |
| Primavalle Fire (wd:Q3940170)                   | Primavalle Fire (en)                   | 2 (xsd:decimal)  |                                     |
| wd:Q3975707                                     |                                        | 12 (xsd:decimal) |                                     |
| Alcamo Marina Massacre (wd:Q3975706)            | Alcamo Marina Massacre (en)            | 2 (xsd:decimal)  |                                     |
| Circonvallazione massacre (wd:Q3975703)         | Circonvallazione massacre (en)         | 5 (xsd:decimal)  |                                     |
| Milan police headquarters bombing (wd:Q3975700) | Milan police headquarters bombing (en) | 4 (xsd:decimal)  |                                     |
| ...                                             | ...                                    | ...              | ...                                 |
| 2022 monkeypox outbreak (wd:Q112070734)         | 2022 monkeypox outbreak (en)           | 8 (xsd:decimal)  | 2022-07-22T00:00:00Z (xsd:dateTime) |
| 2022 monkeypox outbreak (wd:Q112070734)         | 2022 monkeypox outbreak (en)           | 8 (xsd:decimal)  | 2022-07-30T00:00:00Z (xsd:dateTime) |
| Storm Ciarán (wd:Q123282671)                    | Storm Ciarán (en)                      | 1 (xsd:decimal)  | 2023-11-02T00:00:00Z (xsd:dateTime) |
| Storm Ciarán (wd:Q123282671)                    | Storm Ciarán (en)                      | 16 (xsd:decimal) | 2023-11-03T00:00:00Z (xsd:dateTime) |
| Storm Ciarán (wd:Q123282671)                    | Storm Ciarán (en)                      | 22 (xsd:decimal) | 2023-11-05T00:00:00Z (xsd:dateTime) |

[Assistant]
There are many events with P1120 in Italy, but I need specifically COVID-19 pandemic in Italy. It seems the pandemic item doesn't use P1120 directly; instead it links to a Commons tabular dataset (P8204). The user asks: "Get the country, the number of cumulative deaths, and the dates of those deaths related to the COVID-19 pandemic in Italy."

Possible interpretations:
- They want the country (Italy), cumulative deaths, and dates for which cumulative deaths are recorded — likely time series data from the Commons dataset. SPARQL endpoint can't access external CSV directly, but sometimes Wikidata encodes tabular data entries as separate items or statements (e.g., items for daily cases). Another approach: look for statements where 'COVID-19 pandemic in Italy' has 'number of deaths' as a qualifier on statements representing 'confirmed cases' or via 'has part' items (e.g., 2020 pandemic in Lombardy had P1120?). Let's search for items that are parts of the COVID-19 pandemic in Italy (P527) and have P1120 with dates.

[Tool] Got no rows and 4 columns

[Assistant] I'll search for items that have 'COVID-19 pandemic in Italy' as main subject (P921) and also have number of deaths (P1120) statements, which could represent daily records.

[Tool]
Top 10 property alternatives:
1. main subject, also known as main topic, primary subject, primary keyword, plot keyword, of (wd:P921 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): primary topic of a work, subproperty of depicts
2. curriculum topics, also known as curriculum includes, included subject, included topic, subject included, syllabus includes (wd:P8263 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): topic or subject included in the curriculum
3. facet of, also known as subject in, topic of, subtopic of, subitem of, section in (wd:P1269 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): topic of which this item is an aspect; item that offers a broader perspective on the same topic
4. academic major, also known as major, subject, studied, college major, academic subject (wd:P812 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): major someone studied at college/university
5. field of work, also known as scientific discipline, purpose, scientific area, responsible for, research on (wd:P101 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): specialization of a person or organization; see P106 for the occupation, subproperty of interested in
6. depicts, also known as reproduces, portrays, represents, quotes, preserves (wd:P180 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', subproperty of has part(s)
7. Wikidata item of this property, also known as Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property, subject item (wd:P1629 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): item corresponding to the concept represented by the property
8. Decine21 person ID, also known as Decine21 ID, Decine21.com ID (wd:P7803 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a person on the website decine21.com
9. category's main topic, also known as item for this category, main article in category, main category topic, main subject of category, main topic of category (wd:P301 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): primary topic of the subject Wikimedia category, subproperty of main subject
10. statement is subject of, also known as subject of the statement, subject of the claim, subject of, statement is the subject of, related item of statement (wd:P805 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): (qualifying) item that describes the relation identified in this statement

[Assistant] I'll search for items with P921 = COVID-19 pandemic in Italy (wd:Q84104992) and P1120 statements.

[Tool] Got no rows and 4 columns

[Assistant] I'll query all properties used in statements about the COVID-19 pandemic in Italy (wd:Q84104992) to inspect whether cumulative deaths are present as statements or qualifiers under some property.

[Tool]
Got 36 rows and 3 columns, showing the first 5 and last 5 rows below:
| p                                                  | prop                                              | val                                                                                |
| -------------------------------------------------- | ------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| has effect (wdt:P1542)                             | has effect (wd:P1542)                             | 2020 Italy coronavirus lockdown (wd:Q87348909)                                                                                |
| country (wdt:P17)                                  | country (wd:P17)                                  | Italy (wd:Q38)                                                                                |
| distribution map (wdt:P1846)                       | distribution map (wd:P1846)                       | <http://commons.wikimedia.org/wiki/Special:FilePath/COVID-19%20Italy%20-%20Cases%20per%20capita%20%28last%2014%20days%29.svg> |
| distribution map (wdt:P1846)                       | distribution map (wd:P1846)                       | <http://commons.wikimedia.org/wiki/Special:FilePath/COVID-19%20Italy%20-%20Cases%20per%20capita.svg>                          |
| distribution map (wdt:P1846)                       | distribution map (wd:P1846)                       | <http://commons.wikimedia.org/wiki/Special:FilePath/COVID-19%20Outbreak%20Cases%20in%20Italy%20%28Density%29.svg>             |
| ...                                                | ...                                               | ...                                                                                |
| organized response related to outbreak (wdt:P8045) | organized response related to outbreak (wd:P8045) | 2020 Italy COVID-19 closing of educational institutions (wd:Q93623509)                                                        |
| tabular case data (wdt:P8204)                      | tabular case data (wd:P8204)                      | <http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab>                                                  |
| has cause (wdt:P828)                               | has cause (wd:P828)                               | COVID-19 (wd:Q84263196)                                                                                |
| topic's main category (wdt:P910)                   | topic's main category (wd:P910)                   | wd:Q87346429                                                                                |
| described at URL (wdt:P973)                        | described at URL (wd:P973)                        | <http://www.salute.gov.it/nuovocoronavirus>                                                                                |

[Assistant]
The item mainly links to a Commons tabular dataset (P8204) which contains time series like cumulative deaths. SPARQL on Wikidata cannot directly query the external .tab file. However, sometimes Commons tabular data is mirrored as individual Wikidata items or statements; but I didn't find P1120 on the pandemic item.

Alternate approach: The user likely expects a result listing Italy, cumulative deaths, and dates — i.e., time series of cumulative deaths. On Wikidata, there are items for "COVID-19 pandemic by country" that hold datasets as separate items? I'll search for other items with tabular case data for Italy (P8204) or entries in the 'Data:COVID-19+(STCenter)/IT/Q38.tab' stored as separate items. Search for items with P8204 pointing to that URL.

[Tool]
Top 10 property alternatives:
1. tabular case data, also known as Commons Data, data on Common, .tab (wd:P8204 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): tabular data on Wikimedia Commons of confirmed cases, recoveries...603, P8049, P8010, P1120. Try to avoid deleting such statements.
2. Sandbox-Tabular data (wd:P4045 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): A sandbox type per available data type
3. based on tabular data (wd:P8265 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): Commons tabular data file that a Commons file (or statement) derives from
4. number of cases, also known as number of occurrences, total number of cases, occurrences reported, number of infections, number infected (wd:P1603 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): cumulative number of confirmed, probable and suspected occurrences
5. tabular population, also known as population (wd:P4179 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): same as population (P1082); used when there is data for many different points in time
6. COVIDWHO ID, also known as covidence #, WHO COVID-19 Global literature o...irus disease database identifier, COVIDWHO (wd:P8150 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of an article in the WHO COVID-19 Global literature on coronavirus disease database
7. provides data for property, also known as data provided by property, data provided by website, data supplied by identifier, statements provided by identifier, statements provided by property (wd:P13353 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): dataset associated with this external ID usually contains data applicable to this other Wikidata property
8. external data available at URL, also known as data, external data URL, URL with external data (wd:P1325 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): URL where external data on this item can be found
9. PatientsLikeMe condition ID (wd:P4233 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a condition on PatientsLikeMe, a website where patients can share health information
10. DiseasesDB, also known as Diseases Database (wd:P557 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier sourced on the Diseases Database

[Assistant] I'll search for items that reference the same Commons tabular URL to see if there are related items representing daily data points.

[Tool]
Got 1 row and 2 columns:
| item                                      | itemLabel                       |
| ----------------------------------------- | ------------------------------- |
| COVID-19 pandemic in Italy (wd:Q84104992) | COVID-19 pandemic in Italy (en) |

[Assistant]
No separate items. Since the data is in a Commons dataset, SPARQL cannot access it. The user asked: "Get the country, the number of cumulative deaths, and the dates of those deaths related to the COVID-19 pandemic in Italy." Given constraints, the best achievable via Wikidata SPARQL is: return the country for the pandemic item (P17), and perhaps the 'tabular case data' URL as a reference to where the time series is stored. But the user asked for the number of cumulative deaths and dates — if Wikidata doesn't contain those as statements, we cannot fetch them. I must explain this and either provide a query that returns country + the P8204 URL, or attempt to extract any P1120 statements in related items (e.g., regional pandemics like Lombardy) that do have P1120 with dates.

I'll check sub-items (regions listed in P527) to see if any regional pandemic items have P1120 with point-in-time qualifiers.

[Tool] Got no rows and 4 columns

[Assistant]
Final plan:
- Run a SPARQL query for the COVID-19 pandemic in Italy (wd:Q84104992) that returns the country (P17), the tabular case data URL (P8204), and any direct "number of deaths" (P1120) statements with point-in-time qualifiers (P585) if they exist.
- If P1120 statements are absent (likely), return the tabular dataset URL because the cumulative deaths time series is stored there (external Commons .tab file) and cannot be queried via Wikidata SPARQL.

I'll now execute the SPARQL query to collect that information.

[Tool]
Got 1 row and 6 columns:
| pandemic                                  | country        | countryLabel | tabularURL                                                                   | num | date |
| ----------------------------------------- | -------------- | ------------ | ---------------------------------------------------------------------------- | --- | ---- |
| COVID-19 pandemic in Italy (wd:Q84104992) | Italy (wd:Q38) | Italy (en)   | <http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab> |     |      |

[Assistant] The query confirms that there are no direct P1120 statements on the pandemic item — only the tabular dataset URL is present. I'll prepare the final SPARQL query that returns the pandemic item, its country, and either any P1120 statements (if exist) or the tabular dataset URL. Then I'll explain to the user that the cumulative deaths time series is stored in the Commons tabular data accessible via the provided URL and can't be queried via Wikidata SPARQL directly. I'll provide the final SPARQL query and the result. Now I'll call the answer function with the final query and explanation.

[Tool] Stopped generation process